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Artificial Intelligence in Drug Discovery and Delivery: Advancements and Applications

Medicine Group    Start Submission

Mohammad Ali Mahjoub* and Zahra Sheikholislam

Volume4-Issue7
Dates: Received: 2023-07-11 | Accepted: 2023-07-25 | Published: 2023-07-26
Pages: 1140-1142

Abstract

Artificial Intelligence (AI) has made significant progress in drug discovery and drug delivery and has become an active area of research. The use of AI in drug delivery has gained significant attention, with the development of new technologies and algorithms that enable more efficient drug delivery. The history of AI in drug discovery can be traced back to the 1960s, and since then, AI has been used in various stages of drug discovery, including target identification, lead optimization, and drug design. AI can aid in different stages of drug development, including drug discovery, formulation, and optimization. AlphaFold is an AI-powered deep learning system that uses neural networks to predict the structure of proteins to design drug molecules. The ultimate goal of using AI in pharmaceuticals is to minimize cost and time and achieve exceptional results without the need for laboratory presence. However, experimental validation is still necessary to verify the accuracy and reliability of the AI-generated results.

FullText HTML FullText PDF DOI: 10.37871/jbres1778


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Copyright

© 2023 Mahjoub MA, et al. Distributed under Creative Commons CC-BY 4.0

How to cite this article

Mahjoub MA, Sheikholislam Z. Artifi cial Intelligence in Drug Discovery and Delivery: Advancements and Applications. 2023 July 26; 4(7): 1140-1142. doi: 10.37871/jbres1778, Article ID: JBRES1778, Available at: https://www.jelsciences. com/articles/jbres1778.pdf


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References


  1. Mak KK, Pichika MR. Artificial intelligence in drug development: present status and future prospects. Drug Discov Today. 2019 Mar;24(3):773-780. doi: 10.1016/j.drudis.2018.11.014. Epub 2018 Nov 22. PMID: 30472429.
  2. Paul D, Sanap G, Shenoy S, Kalyane D, Kalia K, Tekade RKJDdt. Artificial intelligence in drug discovery and development. 2021;26(1):80.
  3. He S, Leanse LG, Feng Y. Artificial intelligence and machine learning assisted drug delivery for effective treatment of infectious diseases. Adv Drug Deliv Rev. 2021 Nov;178:113922. doi: 10.1016/j.addr.2021.113922. Epub 2021 Aug 28. PMID: 34461198.
  4. Langer R. New methods of drug delivery. Science. 1990 Sep 28;249(4976):1527-33. doi: 10.1126/science.2218494. PMID: 2218494.
  5. Ding BS, Dziubla T, Shuvaev VV, Muro S, Muzykantov VR. Advanced drug delivery systems that target the vascular endothelium. Mol Interv. 2006 Apr;6(2):98-112. doi: 10.1124/mi.6.2.7. PMID: 16565472.
  6. Wang H, Huang YJMidd. Combination therapy based on nano codelivery for overcoming cancer drug resistance. 2020;6:100024.
  7. Schneider G. Automating drug discovery. Nat Rev Drug Discov. 2018 Feb;17(2):97-113. doi: 10.1038/nrd.2017.232. Epub 2017 Dec 15. PMID: 29242609.
  8. Kavidopoulou A, Syrigos KN, Makrogkikas S, Dlamini Z, Hull R, Marima R, et al. AI and Big Data for Drug Discovery. Trends of Artificial Intelligence and Big Data for E-Health: Springer; 2023;121-38.
  9. Gupta R, Srivastava D, Sahu M, Tiwari S, Ambasta RK, Kumar PJMd. Artificial intelligence to deep learning: machine intelligence approach for drug discovery. 2021;25:1315-60.
  10. Wang W, Ye Z, Gao H, Ouyang D. Computational pharmaceutics - A new paradigm of drug delivery. J Control Release. 2021 Oct 10;338:119-136. doi: 10.1016/j.jconrel.2021.08.030. Epub 2021 Aug 19. PMID: 34418520.
  11. Zhang Y, Luo M, Wu P, Wu S, Lee TY, Bai C. Application of Computational Biology and Artificial Intelligence in Drug Design. Int J Mol Sci. 2022 Nov 5;23(21):13568. doi: 10.3390/ijms232113568. PMID: 36362355; PMCID: PMC9658956.
  12. Bai Q, Tan S, Xu T, Liu H, Huang J, Yao XJBib. MolAICal: a soft tool for 3D drug design of protein targets by artificial intelligence and classical algorithm. 2021;22(3):bbaa161.
  13. Zhou Y, Zhang Y, Lian X, Li F, Wang C, Zhu F, Qiu Y, Chen Y. Therapeutic target database update 2022: facilitating drug discovery with enriched comparative data of targeted agents. Nucleic Acids Res. 2022 Jan 7;50(D1):D1398-D1407. doi: 10.1093/nar/gkab953. PMID: 34718717; PMCID: PMC8728281.
  14. Supare V, Wadher K, Umekar MJJoDD, Therapeutics. Experimental design: Approaches and applications in development of pharmaceutical drug delivery system. 2021;11(4-S):154-61.
  15. Nussinov R, Zhang M, Liu Y, Jang HJTJoPCB. AlphaFold, artificial intelligence (AI), and allostery. 2022;126(34):6372-83.
  16. Ren F, Ding X, Zheng M, Korzinkin M, Cai X, Zhu W, et al. AlphaFold accelerates artificial intelligence powered drug discovery: efficient discovery of a novel CDK20 small molecule inhibitor. 2023;14(6):1443-52.


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